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This position is responsible for to define and align analytics vision, manage execution of data initiatives, lead data talents, drive analytics maturity and ensure the business is powered by data solution. He/She will also facilitate analytics use-cases generation, lead selection and prioritization and oversee validation process. The position serves as an advisor to the leadership team.
Job Requirements Education* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.) Relevant Experience*3 - 4 years for Data Scientist* Relevant working experience in a data science/advanced analytics role Behavioural Skills*Delivery Excellence*Business disposition*Social intelligence*Innovation and agility Knowledge* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)*Statistical modelling using Analytical tools (R, Python, KNIME, etc.)*Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)*Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.*Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)*Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)*Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools*Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)* Microsoft Office applications (MS Excel, etc.)
Location- Gurgaon
Job RequirementsEducation* Bachelor's degree required, preferably with a quantitative focus (Statistics, Business Analytics, Data Science, Math, Economics, etc.)* Master's degree preferred (MBA/MS Computer Science/M.Tech Computer Science, etc.)Relevant Experience* 5 - 7 years for Data Scientist* Relevant working experience in a data science/advanced analytics roleBehavioural Skills* Delivery Excellence* Business disposition* Social intelligence* Innovation and agilityExperience* Functional Analytics (Supply chain analytics, Marketing Analytics, Customer Analytics, etc.)* Statistical modelling using Analytical tools (R, Python, KNIME, etc.)* Knowledge of statistics and experimental design (A/B testing, hypothesis testing, causal inference)* Practical experience building scalable ML models, feature engineering, model evaluation metrics, and statistical inference.* Practical experience deploying models using MLOps tools and practices (e.g., MLflow, DVC, Docker, etc.)* Strong coding proficiency in Python (Pandas, Scikit-learn, PyTorch/TensorFlow, etc.)* Big data technologies & framework (AWS, Azure, GCP, Hadoop, Spark, etc.)* Enterprise reporting systems, relational (MySQL, Microsoft SQL Server etc.), non-relational (MongoDB, DynamoDB) database management systems and Data Engineering tools* Business intelligence & reporting (Power BI, Tableau, Alteryx, etc.)* Microsoft Office applications (MS Excel, etc.)Roles & ResponsibilitiesAnalytics & Strategy1. Analyse large-scale structured and unstructured data; develop deep-dive analyses and machine learning models in retail, marketing, merchandising, and other areas of the business2. Utilize data mining, statistical and machine learning techniques to derive business value from store, product, operations, financial, and customer transactional data3. Apply multiple algorithms or architectures and recommend the best model with in-depth description to evangelize data-driven business decisions4. Utilize cloud setup to extract processed data for statistical modelling and big data analysis, and visualization tools to represent large sets of time series/cross-sectional dataOperational Excellence1. Follow industry standards in coding solutions and follow programming life cycle to ensure standard practices across the project2. Structure hypothesis, build thoughtful analyses, develop underlying data models and bring clarity to previously undefined problems3. Partner with Data Engineering to build, design and maintain core data infrastructure, pipelines and data workflows to automate dashboards and analysesStakeholder Engagement1. Working collaboratively across multiple sets of stakeholders - Business functions, Data Engineers, Data Visualization experts to deliver on project deliverables2. Articulate complex data science models to business teams and present the insights in easily understandable and innovative formats
To drive full funnel growth and 10X scale through Performance and Channel marketing, backed by deep analytics and conversion optimization. To own end to end budget strategy to maximize ROI and accelerate business impact
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The AVP Sales will lead and manage a team of real estate sales agents, driving the growth of the sales department while overseeing the direct sales of Holiday Homes.
The Senior Sales Manager will be managing all sales/revenue generating activities and relationships with Bottling Group to develop retailers, distributors, and wholesalers in the assigned territory. Increase top line sales revenue while maintaining bottom-line profitability.
The role of Head Marketing in the retail industry involves leading marketing strategies and initiatives to drive customer engagement and brand growth. This position requires expertise in creating impactful campaigns and managing diverse marketing channels.
Lead and build Integrated Media Strategy and plans for the brand- Traditional, digital, PR and event activations. Annual Media Buying - Collaborate, partner and build cost-efficient annual deals for the brand with multiple media partners
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